run_apriori_freqitems {RareComb}

Generate frequent items using the apriori algorithm

Description

This function takes in a factorized Boolean matrix and generate frequent itemsets that meet all the user provided criteria provided by the calling function.

Usage

run_apriori_freqitems(
  apriori_input_df,
  combo_length,
  support_threshold,
  input_colname_list,
  confidence_threshold = confidence_threshold,
  include_output_ind = include_output_ind,
  output_colname_list = output_colname_list
)

Arguments

apriori_input_df

An input factorized Boolean dataframe with multiple input and outcome variables

combo_length

The length of the combinations specified by the user

support_threshold

Minimum support value calculated based on the minimum absolute observed frequency threshold specified by the user

input_colname_list

A list of column names that identify the input variables

confidence_threshold

Minimum confidence threshold specified by the user

include_output_ind

Specifies if the outcome variables must also be made part of the analysis using the algorithm

output_colname_list

A list of column names that identify the outcome variables

Details

This is a function leveraged by few of the four main methods available to the users.

Value

A list of frequent item sets that meet all the constraints supplied to the apriori algorithm

Author(s)

Vijay Kumar Pounraja